About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 hours to complete

Suggested: 4 weeks of study, about 3-5 hours per week. ...

English

Subtitles: English
User
Learners taking this Course are
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User
Learners taking this Course are
  • Auditors
  • Entrepreneurs
  • Translators
  • Customer Care Reps
  • Biologists

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 hours to complete

Suggested: 4 weeks of study, about 3-5 hours per week. ...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Abstraction

6 videos (Total 20 min), 1 reading, 1 quiz
6 videos
1.1.1 Abstraction4m
1.1.2 Abstraction in data representations4m
1.1.3 Notional machines4m
1.1.5 CPU and memory3m
1.1.7 Summary1m
1 reading
1.0.3 Further Reading10m
1 practice exercise
1.1.4 Abstraction30m
Week
2
3 hours to complete

State, modularity and applications

9 videos (Total 38 min), 1 reading, 5 quizzes
9 videos
2.1.3 State5m
2.1.5 An e-commerce site4m
2.1.7 Why does turning it off and on again work?3m
2.2.1 A notional machine: files6m
2.2.3 Modularity2m
2.2.4 Applications5m
2.2.6 Debugging6m
2.3.4 Summary1m
1 reading
2.2.5 Looking inside applications5m
4 practice exercises
2.1.4 State15m
2.2.2 Files15m
2.2.7 Debugging an application problem10m
2.3.3 Summative quiz20m
Week
3
2 hours to complete

Networks

7 videos (Total 34 min), 3 quizzes
7 videos
3.1.2 The internet7m
3.2.1 Security threats2m
3.2.3 Encryption5m
3.2.4 Security defenses3m
3.2.5 The perils of the password: Interview with Sarah Wiseman10m
3.2.8 Summary59s
3 practice exercises
3.1.3 Networks16m
3.2.6 Security: what have you learned?15m
3.2.7 Case study: debugging a web load error15m
Week
4
4 hours to complete

How the web works

9 videos (Total 24 min), 1 reading, 4 quizzes
9 videos
4.1.1 Websites2m
4.1.2 Networks and the Web2m
4.1.3 Security and the Web2m
4.1.4 State and the Web2m
4.1.5 Clients and servers3m
4.1.6 Embedding and APIs2m
4.1.7 Your data2m
4.2.5 MOOC Summary2m
1 reading
4.2.4 Further Learning10m
3 practice exercises
4.0.1 Motivating problem15m
4.1.8 Websites15m
4.2.3 Summative quiz20m
4.5
27 ReviewsChevron Right

Top reviews from How Computers Work

By DHJan 10th 2019

I enjoy the MOOC and would introduce it to my friends. I think the course has revolutionize my previous understanding of Computer and Internet. Thumb Up!

By HMJul 6th 2019

Very well thought out and structured lecture, even though I work in IT, I learnt a few new concepts which will be helpful in day to day work.

Instructor

Avatar

Dr Marco Gillies

Senior Lecturer
Computing Department, Goldsmiths, University of London

Start working towards your Master's degree

This course is part of the 100% online Bachelor of Science in Computer Science from University of London. If you are admitted to the full program, your courses count towards your degree learning.

About University of London

The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk...

About Goldsmiths, University of London

Championing research-rich degrees that provoke thought, stretch the imagination and tap into tomorrow’s world, at Goldsmiths we’re asking the questions that matter now in subjects as diverse as the arts and humanities, social sciences, cultural studies, computing, and entrepreneurial business and management. We are a community defined by its people: innovative in spirit, analytical in approach and open to all....

About the Introduction to Computer Science and Programming Specialization

This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science....
Introduction to Computer Science and Programming

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.